package dbjocr.opencv.demo;
import org.opencv.core.Core;
import org.opencv.core.Mat;
import org.opencv.core.MatOfRect;
import org.opencv.core.Point;
import org.opencv.core.Rect;
import org.opencv.core.Scalar;
import org.opencv.imgcodecs.Imgcodecs;
import org.opencv.imgproc.Imgproc;
import org.opencv.objdetect.CascadeClassifier;
//
// Detects faces in an image, draws boxes around them, and writes the results
// to "faceDetection.png".
//
class DetectFaceDemo {
  public void run() {
    System.out.println("\nRunning DetectFaceDemo");
    String xmlFileName = "/opencv-3.4.10/build/etc/lbpcascades/lbpcascade_frontalface_improved.xml";
    CascadeClassifier faceDetector = new CascadeClassifier(xmlFileName);

    Mat image = Imgcodecs.imread("./input/lena.jpg", Imgcodecs.IMREAD_ANYCOLOR);
    // Detect faces in the image.
    // MatOfRect is a special container class for Rect.
    MatOfRect faceDetections = new MatOfRect();
    faceDetector.detectMultiScale(image, faceDetections);
    System.out.println(String.format("Detected %s faces", faceDetections.toArray().length));
    // Draw a bounding box around each face.
    for (Rect rect : faceDetections.toArray()) {
        Imgproc.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0));
    }
    // Save the visualized detection.
    String filename = "./output/faceDetection.png";
    System.out.println(String.format("Writing %s", filename));
    Imgcodecs.imwrite(filename, image);
  }
}
public class HelloOpenCV {
    public static void main(String[] args) {
        System.out.println("Hello, OpenCV");
        // Load the native library.
        System.loadLibrary(Core.NATIVE_LIBRARY_NAME);
        new DetectFaceDemo().run();
     }
}
